0% Complete
Home
/
14th International Conference on Computer and Knowledge Engineering
New Design of Efficient Reversible Quantum Saturation Adder
Authors :
Negin Mashayekhi
1
Mohammad Reza Reshadinezhad
2
Shekoofeh Moghimi
3
1- university of isfahan
2- university of isfahan
3- university of isfahan
Keywords :
Reversible Adder،Quantum Computing،Quantum Cost،Quantum Saturation Adder
Abstract :
Reversible logic is becoming increasingly important with the rise of technologies like quantum computing, as it retains information during computation and maintains a one-to-one correspondence between inputs and outputs. Quantum circuits are inherently reversible and the best computational model in quantum computing systems. Some quantum signal processing (DSP) applications like filters and image processing applications require the results of arithmetic operations to be saturated. Saturation occurs when adding two numbers with the same sign and this can be done through a quantum saturating adder. This paper proposed a reversible quantum saturating adder with efficient quantum criteria like quantum cost, number of ancilla, and number of garbage outputs. We firstly propose a reversible n-bit quantum saturation generator block which is applied to a quantum adder and construct a quantum saturating adder circuit. The proposed circuit is simulated using the Quirk online tool and the result confirms the accuracy of the design. This design achieves 6%, 22%, and 13% improvement in quantum cost, ancilla inputs, and garbage outputs, compared to its counterpart, respectively.
Papers List
List of archived papers
Towards Study of Research Topics Evolution in Artificial Intelligence based on Topic Embedding
Seyyed Reza Taher Harikandeh - Sadegh Aliakbary - Soroush Taheri
GAP: Fault tolerance Improvement of Convolutional Neural Networks through GAN-aided Pruning
Pouya Hosseinzadeh - Yasser Sedaghat - Ahad Harati
Cardiology Disease Diagnosis by Analyzing Histological Microscopic Images Using Deep Learning
Maria Salehpanah - Jafar Tanha - Zahra Jafari - SeyedEhsan Roshan - Sajad Rezaei
AI-Driven Relocation Tracking in Dynamic Kitchen Environments
Arash Nasr Esfahani - Hamed Hosseini - Mehdi Tale Masouleh - Ahmad Kalhor - Hedieh Sajedi
Depression Diagnosis Using Optimization of Nonlinear EEG Features Based on Parametric Learning Tactics
Ali Asadi Zeidabadi - Melika Changizi - Mahdi Zolfagharzadeh Kermani - Sara Bargi Barkouk
Underwater Image Super-Resolution using Generative Adversarial Network-based Model
Alireza Aghelan - Modjtaba Rouhani
Optimizing Text-Based Protocol Clustering in Reverse Engineering with Auto-Encoders and Fine-Tuned Parameters
Shiva Mahmoudzadeh - Mohaddese Nemati - Mehdi Teimouri
Fatty Liver Level Recognition Using Particle Swarm Optimization (PSO) Image Segmentation and Analysis
Seyed Muhammad Hossein Mousavi - Vyacheslav Lyashenko - Atiye Ilanloo - S. Younes Mirinezhad
A Survey of the AVOA Metaheuristic Algorithm and its Suitability for Power System Optimization and Damping Controller Design
Aliyu Sabo - Theophilus Ebuka Odoh - Samuel Habu - Hossien Shahinzadeh - Farshad Ebrahimi
Robustness Scan of Digital Circuits Using Convolutional Neural Networks
Mobin Vaziri - Mohammad Mehdi Rahimifar - Hadi Jahanirad
more
Samin Hamayesh - Version 42.2.1